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A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation
Head injuries are often fatal or of sufficient severity to pedestrians in vehicle crashes. Finite element (FE) simulation provides an effective approach to understand pedestrian head injury mechanisms in vehicle crashes. However, studies of pedestrian head safety considering full human body response...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6681603/ https://www.ncbi.nlm.nih.gov/pubmed/31428191 http://dx.doi.org/10.1155/2019/4930803 |
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author | Li, Guibing Tan, Zheng Lv, Xiaojiang Ren, Lihai |
author_facet | Li, Guibing Tan, Zheng Lv, Xiaojiang Ren, Lihai |
author_sort | Li, Guibing |
collection | PubMed |
description | Head injuries are often fatal or of sufficient severity to pedestrians in vehicle crashes. Finite element (FE) simulation provides an effective approach to understand pedestrian head injury mechanisms in vehicle crashes. However, studies of pedestrian head safety considering full human body response and a broad range of impact scenarios are still scarce due to the long computing time of the current FE human body models in expensive simulations. Therefore, the purpose of this study is to develop and validate a computationally efficient FE pedestrian model for future studies of pedestrian head safety. Firstly, a FE pedestrian model with a relatively small number of elements (432,694 elements) was developed in the current study. This pedestrian model was then validated at both segment and full body levels against cadaver test data. The simulation results suggest that the responses of the knee, pelvis, thorax, and shoulder in the pedestrian model are generally within the boundaries of cadaver test corridors under lateral impact loading. The upper body (head, T1, and T8) trajectories show good agreements with the cadaver data in vehicle-to-pedestrian impact configuration. Overall, the FE pedestrian model developed in the current study could be useful as a valuable tool for a pedestrian head safety study. |
format | Online Article Text |
id | pubmed-6681603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-66816032019-08-19 A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation Li, Guibing Tan, Zheng Lv, Xiaojiang Ren, Lihai Appl Bionics Biomech Research Article Head injuries are often fatal or of sufficient severity to pedestrians in vehicle crashes. Finite element (FE) simulation provides an effective approach to understand pedestrian head injury mechanisms in vehicle crashes. However, studies of pedestrian head safety considering full human body response and a broad range of impact scenarios are still scarce due to the long computing time of the current FE human body models in expensive simulations. Therefore, the purpose of this study is to develop and validate a computationally efficient FE pedestrian model for future studies of pedestrian head safety. Firstly, a FE pedestrian model with a relatively small number of elements (432,694 elements) was developed in the current study. This pedestrian model was then validated at both segment and full body levels against cadaver test data. The simulation results suggest that the responses of the knee, pelvis, thorax, and shoulder in the pedestrian model are generally within the boundaries of cadaver test corridors under lateral impact loading. The upper body (head, T1, and T8) trajectories show good agreements with the cadaver data in vehicle-to-pedestrian impact configuration. Overall, the FE pedestrian model developed in the current study could be useful as a valuable tool for a pedestrian head safety study. Hindawi 2019-07-24 /pmc/articles/PMC6681603/ /pubmed/31428191 http://dx.doi.org/10.1155/2019/4930803 Text en Copyright © 2019 Guibing Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Guibing Tan, Zheng Lv, Xiaojiang Ren, Lihai A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation |
title | A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation |
title_full | A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation |
title_fullStr | A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation |
title_full_unstemmed | A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation |
title_short | A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation |
title_sort | computationally efficient finite element pedestrian model for head safety: development and validation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6681603/ https://www.ncbi.nlm.nih.gov/pubmed/31428191 http://dx.doi.org/10.1155/2019/4930803 |
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